Robust beamforming via FIR filtering for GNSS multipath mitigation

Mañosas-Caballú, Martí; Swindlehurst, A. Lee

doi:10.1109/icassp.2013.6638445

Cited by 10 publications

(7 citation statements)

References 27 publications

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“…In general, interference detection and mitigation techniques are applied at the pre-correlation level, whereas multipath mitigation is performed at the post-correlation level where the data rate is much lower. Examples of reported implementations in which beamforming is performed after correlation can be found in [69]- [71]. The literature reports several digital beamforming implementations aimed at GNSS.…”

Section: B Multiple-output Adaptive Beamformersmentioning

confidence: 99%

Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Fernández‐Prades¹,

Arribas²,

Closas³

2016

Proc. IEEE

104

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One of the main vulnerabilities of GNSS receivers is their exposure to intentional or unintentional jamming signals, which could even cause service unavailability. Several alternatives to counteract these effects were proposed in the literature, being the most promising those based on multiple antenna architectures. This is specially the case for high-grade receivers used in applications requiring reliability and robustness. This article provides an overview of the possible receiver architectures encompassing antenna arrays and the associated signal processing techniques. Emphasis is also put on the most typical implementation issues found when dealing with such technology. A thorough survey is complemented with a set of experiments, including real data processing by a working prototype, which exemplifies the above ideas.

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Section: B Multiple-output Adaptive Beamformersmentioning

confidence: 99%

Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Fernández‐Prades¹,

Arribas²,

Closas³

2016

Proc. IEEE

104

View full text Add to dashboard Cite

show abstract

“…The use of GNSS is modified throughout the decade in each country. The GNSS predicts the location of the moving object through the calculation of the time delay . The defense department in the US created the GNSS system for the defense and the commercial purpose and named it Global Positioning System (GPS) .…”

Section: Introductionmentioning

confidence: 99%

“…The PPS services provided by the GPS are open to access for the civilians, whereas the SPS is restricted to the defense purpose only. The major advantage of using the GPS services is that they are able to differentiate the signals arriving at different directions . The GPS makes use of the signal code and the data messages for the navigation purpose.…”

Section: Introductionmentioning

confidence: 99%

Multipath mitigation in GPS receiver using Taylor integrated bidirectional least mean square algorithm

Siridhara

Ratnam

2019

Trans Emerging Tel Tech

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Research interest in Global Navigation Satellite System (GNSS) is increasing in the past few years due to its wide applicability in many application-oriented environments, such as automobile navigation system and aircraft landing system. Global Positioning System (GPS) is one of the GNSSs having high precision navigation performance. Multipath is a dominant error source that occurs in several GPS applications, limiting the performance. To reduce the multipath effects of satellite signals, an effective multipath mitigation technique is required. This paper introduces the Taylor series-based bidirectional least mean square (Taylor-BLMS) beamforming model for the multipath mitigation problems occurring in the GPS receiver. The performance metrics, such as antenna gain and bit error rate (BER), measure the performance of the proposed Taylor-BLMS model against various comparative models. For the system with six sensors, the proposed Taylor-BLMS model has the best performance with the values of 23.460 dB and 4.78E−05 for the antenna gain and the BER, respectively. For the system with 1 jammer, the proposed Taylor-BLMS model has the antenna gain and the BER values of 22.2828 dB and 3.69E−05, respectively. Trans Emerging Tel Tech. 2019;30:e3760. wileyonlinelibrary.com/journal/ett

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“…However, the weak power of GPS signal in the receiver varying from -130 to -110 dBm, make it vulnerable to the environmental interference [1]. The adaptive beam forming technique based on antenna array was the dominated method to mitigate the interference, which attracted a lot of researchers' attention in the past decades [2,3,4]. For continuous wave interferences (CWIs), [5] reported an anti-jamming system comprising cascaded CWI-detectable adaptive notch filter (ANF) modules, with each module able to mitigate one CWI.…”

Section: Introductionmentioning

confidence: 99%

Design and Experiment of Adaptive Anti-saturation and Anti-jamming Modules for GPS Receiver Based on 4-antenna Array

Zheng¹,

Lin²,

Liu³

et al. 2017

Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

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Abstract. Antenna array with adaptive beam forming technique is an effect way for GPS receiver to suppress the ambient interference, which, however, would be malfunctioning due to the saturation problem in radio frequency (RF) front or intermediate frequency (IF) front caused by the strong interference. To tackle it, this paper demonstrates a scenario consisting of two stages processing, i.e. two anti-saturation modules in RF-front and one anti-jamming module in IF front. The anti-saturation module based on two antennas, is realized with the RF phase shifter and amplifier and capable of forming a deep null in the direction of the strong interference, while the anti-jamming module employs the blind space time adaptive processing (STAP) algorithm to improve the anti-jamming capability. Compared to the RF-front beam former or the IF-front anti-jamming algorithm, not only can the proposed system achieve the anti-saturation and anti-jamming performance but also has more degrees of freedom to suppress interferences. The feasibility is proved by the experiment, exhibiting at least 21 dB anti-saturation improvement and nearly 60 dB interference mitigation.

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Robust beamforming via FIR filtering for GNSS multipath mitigation

Cited by 10 publications

References 27 publications

Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Multipath mitigation in GPS receiver using Taylor integrated bidirectional least mean square algorithm

Design and Experiment of Adaptive Anti-saturation and Anti-jamming Modules for GPS Receiver Based on 4-antenna Array

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